Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India

This research aims to forecast maximum temperatures and the frequency of heatwave days across four different temperature zones (Zone 1, 2, 3 and 4) in India. These four zones are categorized based on the 30-year average maximum temperatures (T30AMT) during the summer months of April, May, and June (...

詳細記述

書誌詳細

主要な著者:	Srikanth Bhoopathi, Nitish Kumar, Somesh, Manali Pal
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2024-12-01
シリーズ:	Applied Computing and Geosciences
主題:	Daily maximum temperature Heatwave Heatwave days XGBoost and support vector regression
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S259019742400051X
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!